T2EQ: Functions for Applying the T^2-Test for Equivalence
Version 1.1

Contains functions for applying the T^2-test for equivalence. The T^2-test for equivalence is a multivariate two-sample equivalence test. Distance measure of the test is the Mahalanobis distance. For multivariate normally distributed data the T^2-test for equivalence is exact and UMPI. The function T2EQ() implements the T^2-test for equivalence according to Wellek (2010) . The function T2EQ.dissolution.profiles.hoffelder() implements a variant of the T^2-test for equivalence according to Hoffelder (2016) for the equivalence comparison of highly variable dissolution profiles.

Package details

AuthorThomas Hoffelder
Date of publication2016-08-31 20:46:12
MaintainerThomas Hoffelder <thomas.hoffelder@boehringer-ingelheim.com>
Package repositoryView on CRAN
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T2EQ documentation built on May 29, 2017, 12:31 p.m.